• DocumentCode
    3590993
  • Title

    Availability Modeling and Simulating of Redundant Hot-standby Control System using Stochastic Reward Nets

  • Author

    Li, Jiangyun ; Tong, Chaonan ; Sun, Yikang

  • Author_Institution
    Inf. Eng. Sch., Univ. of Sci. & Technol., Beijing
  • Volume
    1
  • fYear
    0
  • Firstpage
    4813
  • Lastpage
    4817
  • Abstract
    Availability model should be introduced to estimate system behavior in the field of redundant hot-standby controller design in integrated automation systems of process industry. Stochastic Reward Nets (SRN) model was established based on two-node hot-standby computers on process automaton level. Both RAID share and mirror share were addressed in the study and data was simulated and analyzed using SPNP package. With SRN model, multidimensional availability parameters can be operated accurately and flexibly during the whole pipeline design, which apparently preponderate over the ability of traditional Markov model and combine model. The method can also be exploited for the development of more general modeling on fundamental automation level
  • Keywords
    Markov processes; Petri nets; RAID; process control; production engineering computing; Markov model; Petri nets; RAID share; availability model; integrated automation systems; mirror share; multidimensional availability parameters; pipeline design; process automaton; process industry; redundant hot-standby control system; stochastic reward nets; system behavior estimation; Automata; Automatic control; Computational modeling; Control system synthesis; Design automation; Electrical equipment industry; Industrial control; Mirrors; Stochastic processes; Stochastic systems; Availability Modeling; Petri nets; SRN; hot-standby; integrated automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713298
  • Filename
    1713298